Smart event parser for autonomic computing

Abstract

An autonomic event parser configured for association with a message adapter. An autonomic event parser can include a store of parsing rules, the parsing rules having a strategically specified order. Additionally, a pattern analyzer can be programmed to identify patterns of received messages and to recommend the strategically specified order of the parsing rules. Finally, a parsing rules manager can be communicatively coupled both to the pattern analyzer and the store of parsing rules, the parsing rules manager having a configuration for ordering the parsing rules in the store based upon the recommended order of the pattern analyzer.

Description

BACKGROUND OF THE INVENTION[0001]1. Statement of the Technical Field[0002]The present invention relates to the field of autonomic computing and more particularly to application of parsing rules to incoming messages in a message adapter.[0003]2. Description of the Related Art[0004]Beginning with the advent of enterprise computing, the complexity of computing technology has increased exponentially in pace with the increasing number innovative technologies available for deployment in the enterprise. The revered Moore's Law has driven tremendous growth in the information technology sector and has been seen as the cornerstone of technological advancement. Still, those at the forefront of deploying and managing new computing technologies have recognized that with the increasing number and complexity of computing technologies comes a price: technology management.[0005]That is to say, the principal aim of interoperability has become increasingly more difficult to attain given the requiremen...

AI Technical Summary

Benefits of technology

[0026]In accordance with the inventive arrangements, a self-learning mechanism can be provided in which rules can be constructed which not only can be based upon the frequency and lexicon of entries and words, but more importantly the rules can be constructed based upon patterns and dependency relationships observed among incoming messages and events. More specifically, keywords and symbols, provided by domain experts, can be used in combination to further detect pattern (aggregation of words and symbols in specific sequence and placement) and dependency relationships that may exist between incoming messages to either construct new rules or find a matching parsing rules or assign one from list of existing ones.

[0027]Accordingly, within the present invention, parsing rules can be autonomically built based upon those incoming messages and events. It will be recognized in consequence that these constructed rules fall beyond simple usage of lexicon or a dictionary to parse speech words from an input stream. In other words, a mechanism can be provided based upon dependency knowledge and self-learning to self-optimize the rules by observing patterns from incoming events and adaptation to dynamic environment. In this regard, an autonomic mechanism further can be provided for full control over the life cycle of parsing and filtering rules including discovery, creation, maintenance and tuning, and removal of the obsolete rules.

Problems solved by technology

Beginning with the advent of enterprise computing, the complexity of computing technology has increased exponentially in pace with the increasing number innovative technologies available for deployment in the enterprise.

Still, those at the forefront of deploying and managing new computing technologies have recognized that with the increasing number and complexity of computing technologies comes a price: technology management.

That is to say, the principal aim of interoperability has become increasingly more difficult to attain given the requirement that each component in the enterprise must be monitored and managed.

Yet, the processing of locating matching parsing rules in a list of parsing rules can be time consuming and tedious.

Often, the process of locating matching rules can create a bottleneck within the message adapter giving rise to a performance deterioration in the entire solution.

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